Scan-line quality inspection of strip materials using 1-D radial basis function network

Date

2006-02-28

Author

Saranlı, Afşar

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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There exist a variety of manufacturing quality inspection tasks where the inspection of a continuous strip of material using a scan-line camera is involved. Here the image is very short in one dimension but unlimited in the other dimension. In this study, a method of image event detection for this class of applications based on adaptive radial-basis function networks is presented. The architecture of the system and the adaptation methodology is presented in detail together with a detailed discussion on parameter selection. Promising detection results are illustrated for an application to grinded glass edge inspection problem.

Subject Keywords

Automated optical inspection, Radial-basis functions, Gaussian mixture models, Image event detection

URI

https://hdl.handle.net/11511/55046

Conference Name

1st International Conference on Computer Vision Theory and Applications

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

A. Saranlı, “Scan-line quality inspection of strip materials using 1-D radial basis function network,” presented at the 1st International Conference on Computer Vision Theory and Applications, Setubal, PORTUGAL, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55046.